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Blood supply chain: a two-stage approach for tactical and operational planning

Author

Listed:
  • Ana Margarida Araújo

    (University of Lisbon)

  • Daniel Santos

    (University of Lisbon)

  • Inês Marques

    (University of Lisbon)

  • Ana Barbosa-Povoa

    (University of Lisbon)

Abstract

This work proposes a new integer linear programming model for tactical and operational planning of the blood supply chain. A two-stage approach is developed with a first aggregated stage to establish tactical planning decisions and a second disaggregated stage for the operational level. The model considers multi-products, multi-periods and perishability in a large planning horizon. Inventory levels as well as waste of whole blood and blood-derived products are also modelled. A purchase flow is introduced to handle situations of not enough collection to satisfy demand. The objective is cost minimisation whilst reducing waste and dependence on other regions through purchase. A case study of the South Region of Portugal is explored, demonstrating the possibility of decreased dependency and waste by adjusting allocation of facilities and allowing a more even distribution of activities between processing centres. This is the first study of the kind ever conducted on the Portuguese blood supply chain.

Suggested Citation

  • Ana Margarida Araújo & Daniel Santos & Inês Marques & Ana Barbosa-Povoa, 2020. "Blood supply chain: a two-stage approach for tactical and operational planning," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 1023-1053, December.
    • Handle: RePEc:spr:orspec:v:42:y:2020:i:4:d:10.1007_s00291-020-00600-1
    DOI: 10.1007/s00291-020-00600-1
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    References listed on IDEAS

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    1. Masoumi, Amir H. & Yu, Min & Nagurney, Anna, 2017. "Mergers and acquisitions in blood banking systems: A supply chain network approach," International Journal of Production Economics, Elsevier, vol. 193(C), pages 406-421.
    2. Andres F. Osorio & Sally C. Brailsford & Honora K. Smith, 2015. "A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7191-7212, December.
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    5. Dillon, Mary & Oliveira, Fabricio & Abbasi, Babak, 2017. "A two-stage stochastic programming model for inventory management in the blood supply chain," International Journal of Production Economics, Elsevier, vol. 187(C), pages 27-41.
    6. Duan, Qinglin & Liao, T. Warren, 2014. "Optimization of blood supply chain with shortened shelf lives and ABO compatibility," International Journal of Production Economics, Elsevier, vol. 153(C), pages 113-129.
    7. Steven Nahmias, 1982. "Perishable Inventory Theory: A Review," Operations Research, INFORMS, vol. 30(4), pages 680-708, August.
    8. Beliën, Jeroen & Forcé, Hein, 2012. "Supply chain management of blood products: A literature review," European Journal of Operational Research, Elsevier, vol. 217(1), pages 1-16.
    9. Anna Nagurney & Amir Masoumi & Min Yu, 2012. "Supply chain network operations management of a blood banking system with cost and risk minimization," Computational Management Science, Springer, vol. 9(2), pages 205-231, May.
    10. Ensafian, Hamidreza & Yaghoubi, Saeed, 2017. "Robust optimization model for integrated procurement, production and distribution in platelet supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 32-55.
    11. Gregory P. Prastacos, 1984. "Blood Inventory Management: An Overview of Theory and Practice," Management Science, INFORMS, vol. 30(7), pages 777-800, July.
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    Cited by:

    1. Soheyl Khalilpourazari & Hossein Hashemi Doulabi, 2023. "A flexible robust model for blood supply chain network design problem," Annals of Operations Research, Springer, vol. 328(1), pages 701-726, September.

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